Chi Jun Weon1, Woo Hyun Nam1, Jung-Bae Kim2, Youngkyoo Hwang2, Won-Chul Bang2, Jong Beom Ra1
1Electrical engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea; 2Samsung Advanced Institute of Technology, Yongin-si, Gyeonggi-do, Korea
The registration of MR images with real-time US images is beneficial in various clinical applications. In most of registration algorithm, a pre-registration scheme to obtain good initial transformation parameters is important. However, conventional methods usually require a time-consuming and inconvenient manual process for pre-alignment. Furthermore, if anatomical features are not clearly visible in an abnormal liver, it is difficult to perform the manual pre-registration procedure. In this paper, we propose an automatic and robust pre-registration algorithm of the liver. For reliable and robust registration, the algorithm uses patient-independent feature geometries such as IVC and liver surface rather than vessel bifurcations.